DataSciEn'2018 - Learning from Scientific Data in Energy

Advances in algorithms and computing power as well as a tremendous increase in data availability and storage in the last decades have led to massive social changes. However, the use of scientific and technical data to successfully solve industrial problems is a specific challenge that requires close collaboration between the different professionals involved in data analysis.
This conference co-hosted by IFPEN and Inria aims at bringing together multi-disciplinary researchers, software editors and industry practitioners from the energy sector working on problems with large and complex datasets. The emphasis is on the practical application of state of the art algorithms to extract information from experimental and simulated data.

Special attention will be given to contributions relevant to the following themes:

Advance in learning algorithms

Frameworks and platforms for data gathering and analysis
Application of learning algorithms to solve industrial problems